five

Baseline characteristics of the study population.

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://figshare.com/articles/dataset/Baseline_characteristics_of_the_study_population_/24107932
下载链接
链接失效反馈
官方服务:
资源简介:
Objectives Hemodialysis patients have a higher incidence of stroke than healthy individuals. Hemodialysis patients living on remote islands are subject to additional distance and transportation difficulties. Therefore, we aimed to study the association between stroke and hemodialysis in patients living on remote islands. Materials and methods We conducted a retrospective cohort study based on the medical records of maintenance hemodialysis patients in Shinkamigoto-Cho, Nagasaki, Japan, between June 1, 2005, and June 31, 2022. The clinical characteristics, probability of hemorrhagic stroke, acute ischemic stroke-free rate, and survival probability with or without a history of anticoagulant/antiplatelet use were evaluated. The survival probability among the hemorrhagic stroke, acute ischemic stroke, and non-stroke groups was also evaluated. Results This study involved 142 patients. Nine patients (6.3%) had intracerebral hemorrhage, one (0.7%) had subarachnoid hemorrhage, eight (5.6%) had acute ischemic stroke, and 124 (87.3%) had no stroke. The number of patients with severe disabilities (modified Rankin Scale 5/6) was significantly higher in the hemorrhagic stroke group. The probability of hemorrhagic stroke and acute ischemic stroke-free rate, or survival probability with or without a history of anticoagulant/antiplatelet use, were not significantly different. The acute ischemic stroke group was not associated with a lower survival probability than the other groups. The hemorrhagic stroke group had a significantly lower survival probability than the acute ischemic stroke group. Conclusions This is the first study to report the status of stroke in hemodialysis patients living on remote islands, thus providing valuable information for improved stroke management in such patients.
创建时间:
2023-09-08
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作